Hello! I'm Jyoti.
I have completed my Ph.D. under the supervision of Dr. Angshul Majumdar, IIIT Delhi. My thesis topic is "Deep Transform Learning." The main idea is to use transform learning for making a new machine learning framework. The major contributions of my thesis are supervised deep transform learning, unsupervised deep transform learning, deep transformed subspace clustering, convolutional transform learning, and semi-coupled transform learning. I have solved a diverse range of problems from classification, clustering, document retrieval, image deblurring, reconstruction, multi-label classification, and image super-resolution.
Education
2016-2019
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2013-2015
2009-2013
2009
Completed Ph.D from IIIT Delhi (current CGPA 8.83).
M.Tech from U.I.E.T, Kurukshetra University (CGPA 9.56), University topper and Gold Medalist.
B.Tech from U.I.E.T, Kurukshetra University (77%)
Higher Secondary education, C.B.S.E., 82.2%
2007
Others
2013,2014,2015
2015
Secondary School, C.B.S.E., 89.4%
GATE qualified
UGC-NET JRF qualified
Assistant Professor in U.I.E.T, K.U.K
Oct 2015-feb 2016
Publications
DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework
Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia
EURASIP Journal on Advances in Signal Processing, 2020 (Accepted)
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux
Signal Processing, 2020
Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
ICASSP 2020
IEEE Transactions on Knowledge and Data Engineering
2018 26th European Signal Processing Conference (EUSIPCO)
Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol 11303. Springer
Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol 11303. Springer
IEEE Geoscience and Remote Sensing Letters
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pattern Recognition Letters, Volume 98, Pages 117-122,15 October 2017.
Magnetic Resonance Imaging, Volume 45, Pages 105-112, January 2018.
IEEE GlobalSIP, Montreal, Canada, 14-16 Nov 2017.
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ICIP'17, Beijing, China, 17-20 sept,2017.
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IEEE ICASSP. New Orleans, USA, 05-09 Mar 2017.
ICVGIP'16, ACM, IIT Guwahati, 18-22 Dec 2016
2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), IEEE
AIJRSTEM, International Association of Scientific Innovation and Research (IASIR), USA
International Journal of Software and Web Sciences, International Association of Scientific Innovation and Research (IASIR), USA
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National Conference on Advances in Engineering, Technology & ManagementNational Conference on Advances in Engineering, Technology & Management, IOSR Journal of Computer Engineering
National Conference on Advances in Engineering, Technology & ManagementNational Conference on Advances in Engineering, Technology & Management, IOSR Journal of Computer Engineering
Proceedings of the 4th International Conference on Eco-friendly Computing and Communication Systems, ACM
Research Work
I have completed a Ph.D. at IIIT Delhi, under the supervision of Dr. Angshul Majumdar.
My research interests are:
Machine Learning, Deep Learning, Image Processing, Compressed Sensing, Dictionary Learning and Signal Processing.
My current research work is broadly on transform learning, which is an analysis framework of dictionary learning for learning representations. We use transform learning for feature extraction and then use these features to predict categories of unseen data. The transform model has been developed for multi-label classification, clustering, image reconstruction, denoising, convolutional transform learning, supervised and unsupervised feature extraction, document retrieval and solving inverse problems.
M.Tech Thesis: pdf
INTERNSHIP & Talks
Three months internship from Mar'18 - May'18 at A3SI, LIGM, Universite de Paris; Collaborators: Dr. Emilie Chouzenoux and Dr. Giovanni Chierchia.
Title of Project: Convolutional Transform Learning.
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Talks:
Invited Speaker at CVN (Centre de Vision Numerique), Universite de Paris. Title of talk: Deep Dictionary Learning and Transform Learning.
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Invited Speaker at Algorithmes, Architectures, Analyse et Synthese d’images (A3SI ) du Laboratoire d’Informatique Garpard Monge (LIGM), Unité Mixte de Recherche de l'Université Paris Est, ESIEE PARIS. Title of talk: “From Compressed Sensing to Deep Transform Learning”
Contact Information
